Comprehensive modeling of flexible transmission services in stochastic joint energy and spinning reserve market

摘要

To attract more investments for developing smart transmission networks and increasing their flexibility and efficiency, recently policies have been suggested which provide finical incentives in transmission network investment. One of these policies is price biding for incremental transmission capacity and transmission elements in power markets. According to Federal Electricity Regulatory Committee, flow-gate bidding is defined as allowing a line's flow to exceed its rated capacity for a short period of time for a set penalty, i.e., price. This paper concentrates on the development of a comprehensive model for flowgate bidding and Dispatchable Transmission Services (DTSs) in stochastic joint energy and reserve market. In this paper a stochastic joint energy and reserve market with DTS are proposed to minimize the cost of supplying load and reliability expenses.The effectiveness of the proposed model in an electricity market is demonstrated by the use of two stage stochastic mix-integer non-linear programming (TSSMINLP). DTS and flowgate biddings are used during contingencies and steady state to determine optimal required energy and reserve values. As the scale of problem is large, the benders decomposition algorithm is used to solve the stochastic joint energy and reserve market problem. To investigate the efficiency of the proposed strategy, IEEE 6 and 24 bus case tests are studied. According to the obtained results, this strategy decreases energy and reserve marginal prices, as well as reliability cost. Furthermore, the suggested plan is an incentive to the owners of transmission companies.