Abstract
Over the last decades, electricity generation from natural gas has substantially increased, mostly driven by low natural gas prices due to fracturing and lower extraction costs. The geographic distance between natural gas resources and load centers calls for a holistic tool for joint expansion of power systems and natural gas networks. In this paper, a Dynamic Stochastic Joint Expansion Planning (DSJEP) of power systems and natural gas networks is proposed to minimize the investment and operational costs of power and natural gas systems. Electrical and natural gas storage (ENGS) are considered as an option for decision-makers in the DSJEP problem. The proposed approach takes into account long-term uncertainties in natural gas prices and electric and natural gas demands through scenario realizations. In dynamic planning, more scenario needs more time for computation; therefore, scenario reduction is implemented to eschew unnecessary scenarios. The proposed formulation is implemented on a four-bus electricity system with a five-node natural gas network. To demonstrate the efficiency and scalability of the proposed approach, it is also tested on the IEEE 118-bus system with a 14-node natural gas network. The numerical results demonstrate that ENGS can reduce the total investment cost, up to 52% in the test cases, and operational cost, up to 3%. In this paper, co-planning of power and natural gas systems considering natural gas and electrical storage is represented. Also, electrical and natural gas load growth uncertainties are taken into account to model the real situations. The purpose of the model is to minimize investing and operational costs.
Highlights
In the past decades, the share of natural gas in electricity generation has increased from 24% to 39% [1]
The proposed Dynamic Stochastic Joint Expansion Planning (DSJEP) is implemented on a modified five-node natural gas network and a modified four-bus power system network
energy storage (ES) is charging between hours one and five, and they are discharging after hour nine
Summary
The share of natural gas in electricity generation has increased from 24% to 39% [1]. As more coal generation is retired, and increasing investment in intermittent renewable resources demands more flexibility for secure operation of power systems, the investment in natural gas-fired generation units will increase [2]. The technological advances in electrical and natural gas storage (ENGS) present an opportunity to reduce the investment and operational cost of electric and natural gas networks. These storage facilities must be incorporated in long term Dynamic Stochastic Joint Expansion Planning (DSJEP) models to model their effects. The first type is characterised by high releasing and storing rates which has low reservoir capacity and high cost; it can be used for flattening hourly and daily demand variations.
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