Security-constrained unit commitment with natural gas pipeline transient constraints

The interdependencies of power systems and natural gas networks have increased due to the additional installations of more environmental-friendly and fast-ramping natural gas power plants. The natural gas transmission network constraints and the use of natural gas for other types of loads can affect the delivery of natural gas to generation units. These interdependencies will affect the power system security and economics in day-ahead and real-time operations. Hence, it is imperative to analyze the impact of natural gas network constraints on the security-constrained unit commitment (SCUC) problem. In particular, it is important to include natural gas and electricity network transients in the integrated system security because the impacts of any disturbances propagate at two distinctly different speeds in natural gas and electricity networks. Thus, analyzing the transient behavior of the natural gas network on the security of natural gas power plants would be essential as these plants are considered to be very flexible in electricity networks. This paper presents a method for solving the SCUC problem considering the transient behavior of the natural gas transmission network. The applicability of the presented method and the accuracy of the proposed solution are demonstrated for the IEEE 118-bus power system, which is linked with the natural gas transmission system and the results are discussed in this paper.fi=vertaisarvioitu|en=peerReviewed

Impact of solar energy on the integrated operation of electricity-gas grids

Photovoltaic energy is one of the clean and efficient energies which has been developing quickly in thelast years. As the penetration of solar plants is increasing in the electricity network, new problems havearisen in network operation. This paper models a high penetration factor of solar energy in the electricitynetwork and investigates the impact of solar energy growth on both the generation schedule of differentpower plants and in the natural gas transmission network. Fuel management of gas power plants ismodeled through simulation of the natural gas transmission network. To this end, an increase in thepenetration of solar energy in the electricity network inevitably leads to a sudden increase in the outputof gasfired units and a linear and integrated model with the electricity and the natural gas transmissionnetworks has been presented to analyze both of them at the same time to better depict the impact of ahigh penetration of the solar energy in natural gas transmission grids. In this method, natural gastransmission network and Security Constrained Unit Commitment (SCUC) are presented in a single levelprogram. Gas network constraints are linearized and added to the SCUC problem. The stress imposed onthe gas network due to a sudden increase in the load of the electricity network is investigated. Con-clusions are duly drawn.fi=vertaisarvioitu|en=peerReviewed

Multi-Objective Market Clearing Model with an Autonomous Demand Response Scheme

Demand response (DR) is known as a key solution in modern power systems and electricity markets for mitigating wind power uncertainties. However, effective incorporation of DR into power system operation scheduling needs knowledge of the price–elastic demand curve that relies on several factors such as estimation of a customer’s elasticity as well as their participation level in DR programs. To overcome this challenge, this paper proposes a novel autonomous DR scheme without prediction of the price–elastic demand curve so that the DR providers apply their selected load profiles ranked in the high priority to the independent system operator (ISO). The energy and reserve markets clearing procedures have been run by using a multi-objective decision-making framework. In fact, its objective function includes the operation cost and the customer’s disutility based on the final individual load profile for each DR provider. A two-stage stochastic model is implemented to solve this scheduling problem, which is a mixed-integer linear programming approach. The presented approach is tested on a modified IEEE 24-bus system. The performance of the proposed model is successfully evaluated from economic, technical and wind power integration aspects from the ISO viewpoint