GA Based Optimal Control for Maximizing PV Penetration at Transmission

Utilization of distributed energy resources (DER’s) like photo-voltaic generators, is one of the possible solution for present scenario of energy crisis. Most of the study suggest the implementation of PV power stations at distribution level. In this paper detailed theoretical analyses of the impact of large scale PV on transmission level is analysed. The preliminary section of this paper provides literature review with specifications of IEEE-14 bus network. Two methodology ie, constant load method and maximum loading method is implemented here. A test study is done in IEEE 14 bus to find out the optimal location of solar photo-voltaic generator (SPVG)and to find the maximum safe instantaneous penetration with both method using genetic algorithm (GA). Maximum penetration is achieved by adjusting grid parameters subjected to various power system stability and security constraints. Finally it can be concluded that GA based optimal control of large scale PV penetration allows us to utilize SPV power efficiently

Analysis of Power Quality Constrained Consumer-Friendly Demand Response in Low Voltage Distributions Network

Load management using demand response (DR) in a low voltage distribution network (LVDN) offers an economically profitable business platform with peak load management. However, the inconvenience caused to the consumer in depriving their devices and the low levels of associated incentive have contributed to lower consumer acceptance for DR programs in the community. However, with the increasing number of controllable consumer loads, a residential-level DR program is highly plausible in the short to medium term. Further, additional DR capabilities (including ancillary services) are likely to improve the remuneration potential for participants in DR. Considering the perspective of a distribution network operator (DNO), any service useful for maintaining the stable and secure operation of an LVDN will always be appreciated. Thus, in addition to DR\u27s peak load management potential, any further contribution in maintaining power quality (PQ) in the network considered as an ancillary service to DNO will create a profitable business opportunity. Firstly, primary PQ management tasks in an LVDN are maintaining voltage profile and reducing harmonics. With the advancement in the consumer electronics market, increased penetration of nonlinear low carbon technologies (LCTs) based loads at the consumer-side, will increases the harmonic content in the LVDN. While consumer devices may have non-threatening levels of harmonic components, they can still cause issues by accumulating at the main feeder when the additive nature of harmonics are considered. Further, and in respect to harmonics, total harmonic distortion (THD), as a universal indicator, may not be a deterministic measure of the impact of harmonics due to THD’s dependency on the magnitude of fundamental current. Moving to the voltage issue, in an electrical network, it is required to maintain the voltage level of all nodes in the network between regulated tolerance levels. However, during peak load hours, the voltage at the end of a radial feeder may drop below the tolerance level. The corollary is also an issue. A light loading scenario on the same feeder with a higher penetration of solar photovoltaic distributed generators (SPVDG) injecting active power can create a voltage rise scenario. While consumer loads/loading are responsible for these PQ issues in the network, there is no direct obligation on residential level consumers to manage them as long as they are individually operating within the regulation limits. However, a DR option can utilize PQ’s dependency on loads to provide additional service to DNO to mitigate any PQ violations. The DR program\u27s success is critically dependent on consumer participation. It also becomes essential to operate the program with a minimum level of consumer inconvenience. Therefore, a proposal for micromanaging consumer load on an LVDN while considering consumer inconvenience and attaining PQ objectives is thus the theme of this thesis. This research proposes a PQ constrained consumer-friendly DR (PQ-C-DR) program that can provide additional ancillary PQ management services along with conventional DR capabilities. Due consideration is given to minimize consumer inconvenience while operating DR to ensure social acceptability and equity. Harmonic levels in the network are essentially integrated as harmonic heating constraints to maintain stable levels of harmonics in LVDN. A DR in conjunction with a co-ordinated incremental and ‘fair’ curtailment algorithm is introduced to manage the voltage levels in the radial LVDN. A sensitivity study of the proposed algorithm is performed on an urban distribution network model under different operating scenarios. This thesis introduces a new algorithmic dimension in applications for load management to ancillary services (PQ management) using DR. The PQ-C-DR will favour consumer comfort while profiting all stakeholders involved, which essentially creates a win-win scenario for all network participants – essential in DNO/consumer negotiations to achieve wider DR engagement. Improving the profitability of DR by providing additional service(s) is beneficial to both customers and retailers. Furthermore, the DNO benefits from delaying additional peak and PQ management related investments, which could essentially improve the utilization factor of the network

Demand Response and Consumer Inconvenience

Balancing the energy demand and generation using the latest load management technologies is considered as an immediate requirement for peak demand management and to improve the operation of electrical distribution networks. However, load management technologies depriving consumers of utilizing their personal resources could be perceived as a consumer right violation by many consumers, and thus, the success of the program is significantly dependent on consumer satisfaction. This paper probes consumer engagement plans through an algorithm to minimize the consumer inconvenience caused by the load management/demand response (DR) program. Four different consumer engagement plans are proposed for consumers with different tolerance levels, starting from most tolerant to the least. Based on the engagement plans chosen, the reduction requests are generated by the algorithm. The second stage of the algorithm will schedule devices to meet the consumer demand and demand reduction request. The mixed integer linear programming (MILP-DR) algorithm, is implemented on a distribution network model. The uniqueness of the algorithm is the consumer tolerance (comfort) levels are given due consideration, based on a fairness of participation basis in the scheme. The is weight updating factor updates the tolerance of the consumer based on their participation (load reduction and duration of reduction)

Impact of Consumer Profiles on a Consumer Convenience Prioritised Demand Response

Distribution network (DN) load flexibility has simultaneously created challenges and opportunities. The major challenge is to meet the demand-supply balance while maintaining a positive profit-loss ratio. Further, Government enforced climate change policies attract low carbon technology (LCT) distributed energy resources (DER), which further complicate matters. Along with DN, the domestic appliance industry has undergone drastic modernization leading to appliances with advanced control and power efficient technologies as well as automation capabilities. This paper proposes a demand response (DR) program that facilitates these advancements while micromanaging the domestic load consumption pattern so as to manage peak demand in the network. This work identifies consumer conviction towards the DR programs as the major bottle neck for the success of such load management programs. The mixed integer linear programming based DR (MILP - DR) algorithm proposed here, minimizes the consumer inconvenience while facilitating load reduction. Further, attractive consumer engagement plans promoting different levels of engagement (load reduction) are also proposed, which further enhance the choice offering for consumers. The algorithm is tested on a 74 load (domestic) urban distribution network having 8 different consumer profiles. The algorithm is capable of inducing impartiality between consumers by updating a tolerance factor correlating inconvenience of consumers with load deprivation. The results show the capability of the algorithm to distribute load reduction based on the engagement plan, while also minimizing the consumer inconvenience. The results also suggest correlations between social parameters and achievable DR

Application of demand response to improve voltage regulation with high DG penetration

The ability of a consumer friendly demand response based voltage control (DR-VC) program to improve the voltage regulation in a low voltage distribution network (LVDN) with high penetration of DG is investigated. The use of active and reactive power management to regulate the nodal voltage in a distribution network with simple incremental reduction algorithm, in conjunction with DR, is proposed as a solution for over voltage and undervoltage issues in the LVDN. The algorithm micromanages the load and generation in the network enabling the operator to utilize grid resources economically and efficiently while maintaining fairness between consumers with minimum inconvenience. The algorithm is tested on a representative. 74-load radial urban distribution network (Dublin, Ireland) using consumer load and DG generation profiles. The system is modelled and analysed using COM interface between OpenDSS and MATLAB. The DR is modelled through a mixed integer linear programming (MILP), implemented in CVX, such that consumer inconvenience is prioritized. The DR-VC algorithm is capable of regulating load and generation within normal operation limits during undervoltage and overvoltage scenarios

Power System Loading Margin Enhancement by Optimal STATCOM Integration:a case study

Safe and secure network operation with acceptable voltage level has become a challenging task for utilities requiring corrective measures to be implemented. Network upgrades using Flexible Alternating Current Transmission System devices are being considered to serve this purpose. To this end, static loading margin enhancement by optimal static synchronous compensator (STATCOM) allocation to enhance the power transfer capability with minimal voltage variation is presented. Maximum loadability is formulated as an optimization problem, subjected to voltage and small-signal stability constraints. Stability indices are presented and incorporated with the optimization problem to ensure secure operation under maximum loading. The scheme is executed with the IEEE system and an Indian utility network. Improved voltage regulation with different loading condition was achieved for both test networks, with the service rendered by the optimally placed STATCOM. Moreover, it facilitates an additional 50% capacity release in both test systems for hosting the active power and loads

Power system loading margin enhancement by optimal STATCOM integration - a case study

afe and secure network operation with acceptable voltage level has become a challenging task for utilities requiring corrective measures to be implemented. Network upgrades using Flexible Alternating Current Transmission System devices are being considered to serve this purpose. To this end, static loading margin enhancement by optimal static synchronous compensator (STATCOM) allocation to enhance the power transfer capability with minimal voltage variation is presented. Maximum loadability is formulated as an optimization problem, subjected to voltage and small-signal stability constraints. Stability indices are presented and incorporated with the optimization problem to ensure secure operation under maximum loading. The scheme is executed with the IEEE system and an Indian utility network. Improved voltage regulation with different loading condition was achieved for both test networks, with the service rendered by the optimally placed STATCOM. Moreover, it facilitates an additional 50% capacity release in both test systems for hosting the active power and loads

Demand response supported energy management framework for residential users

This paper proposes a smart home energy management system (EMS) designed to automatically adjust the energy requirements as per the availability indicator provided by the Distribution Company (DISCO). The system considers bidirectional end-user parameters, comfort values, and thresholds for a typical residential community microgrid. The energy management system formulates an effective strategy by considering user-side comfort, threshold parameters, and utility-side external signals. The utility-side external signal depends on load reduction requests, signal duration, and signal type. The system is tuned according to utility reduction requests to achieve peak load reduction during specific hours, which helps lower overall power consumption. Two main strategies are employed for this purpose. Comfort Value-based Strategy, where the user priority for each appliance is determined based on the comfort value, allowing the system to optimize energy usage while considering user preferences. Power Consumption-based Strategy, which analyzes the appliance power consumption patterns, this strategy is implemented, proving to be the best option for dealing with low-priority signals from the utility grid. The proposed EMS enables utilities to efficiently manage peak power consumption while empowering users to reduce their electricity bills and optimize energy consumption. This integrated approach creates a win-win situation, benefitting both the utility companies and end users in the smart home environment